AB-100: Agentic AI Business Solutions Architect › Practice Assessment for Exam AB-100: Agentic AI Business Solutions Architect › Question #26606
Single Choice Moderate

Q

A company uses Microsoft Dynamics 365 Supply Chain Management with customizations developed in Microsoft Visual Studio and stored in Azure Repos. Deployable packages are published to the Lifecycle Services (LCS) asset library.

You discover that some deployable packages are being created directly from developer machines instead of source control.

You need to design an ALM process to ensure that deployable packages are repeatable, self-contained, and consistently built from source control.

What should you do?

ID: #26606 Practice Assessment for Exam AB-100: Agentic AI Business Solutions Architect 9 views
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#26606Q ID
ModerateDifficulty
Practice Assessment for Exam AB-100: Agentic AI Business Solutions ArchitectTopic
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  • A Manually designate developer-built packages as release candidates. ✔ ✖
  • B Sync sandbox environments directly from the development branch in Azure Repos. ✔ ✖
  • C Allow developers to continue creating deployable packages in Visual Studio and enforce stricter code reviews. ✔ ✖
  • D Build deployable packages by using an Azure DevOps pipeline that pulls code from Azure Repos and publishes to the LCS. ✔ ✖
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Explanation

Objective:

3.3 Design the ALM process for AI-powered business solutions

What This Item Tests:

Design the ALM process for AI in Dynamics 365 apps for finance and supply chain

Additional Reading:

Finance and operations apps

Build automation

What is ALM?

Rationale:

Using an Azure DevOps build pipeline to create deployable packages from source control ensures repeatable, auditable, and self-contained artifacts suitable for testing and deployment. Developer-built packages, direct environment syncing, and manual promotion do not meet ALM best practices.

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